def test_caching(air_quality_observed, monkeypatch): air_quality_observed.pop('location') air_quality_observed['address']['value'] = { "streetAddress": "IJzerlaan", "postOfficeBoxNumber": "18", "addressLocality": "Antwerpen", "addressCountry": "BE", } from geocoding.geocache import temp_geo_cache cache = next(temp_geo_cache(REDIS_HOST, REDIS_PORT)) assert len(cache.redis.keys('*')) == 0 try: r = geocoding.add_location(air_quality_observed, cache=cache) assert r is air_quality_observed assert 'location' in r assert r['location']['type'] == 'geo:point' assert r['location']['value'] == '51.235646, 4.420609' assert len(cache.redis.keys('*')) == 1 # Make sure no external calls are made monkeypatch.delattr("requests.sessions.Session.request") r.pop('location') r = geocoding.add_location(air_quality_observed, cache=cache) assert 'location' in r assert r['location']['type'] == 'geo:point' assert r['location']['value'] == '51.235646, 4.420609' assert len(cache.redis.keys('*')) == 1 finally: cache.redis.flushall()
def test_entity_add_country_shape(air_quality_observed): air_quality_observed.pop('location') air_quality_observed['address']['value'] = { "addressCountry": "MX", } r = geocoding.add_location(air_quality_observed) assert r is air_quality_observed assert 'location' in r assert r['location']['type'] == 'geo:json' geo = r['location']['value'] assert geo['type'] == 'MultiPolygon' assert len(geo['coordinates']) == pytest.approx(12, abs=2)
def test_entity_add_city_shape(air_quality_observed): air_quality_observed.pop('location') air_quality_observed['address']['value'] = { "addressCountry": "MX", "addressLocality": "Ciudad de México", } r = geocoding.add_location(air_quality_observed) assert r is air_quality_observed assert 'location' in r assert r['location']['type'] == 'geo:json' geo = r['location']['value'] assert geo['type'] == 'Polygon' assert len(geo['coordinates']) == 1 assert len(geo['coordinates'][0]) == pytest.approx(2186, abs=100)
def test_entity_add_street_line(air_quality_observed): air_quality_observed.pop('location') air_quality_observed['address']['value'] = { "streetAddress": "Acolman", "addressLocality": "Ciudad de México", "addressCountry": "MX", } r = geocoding.add_location(air_quality_observed) assert r is air_quality_observed assert 'location' in r assert r['location']['type'] == 'geo:json' geo = r['location']['value'] assert geo['type'] == 'LineString' assert len(geo['coordinates']) == pytest.approx(12, abs=2)
def test_entity_add_point_negative_coord(air_quality_observed): air_quality_observed.pop('location') air_quality_observed['address']['value'] = { "streetAddress": "Acolman", "postOfficeBoxNumber": "22", "addressLocality": "Ciudad de México", "addressCountry": "MX", } r = geocoding.add_location(air_quality_observed) assert r is air_quality_observed assert 'location' in r assert r['location']['type'] == 'geo:point' geo = r['location']['value'] assert geo == '19.6389474, -98.9109537'
def test_entity_add_point(air_quality_observed): air_quality_observed.pop('location') air_quality_observed['address']['value'] = { "streetAddress": "IJzerlaan", "postOfficeBoxNumber": "18", "addressLocality": "Antwerpen", "addressCountry": "BE", } r = geocoding.add_location(air_quality_observed) assert r is air_quality_observed assert 'location' in r assert r['location']['type'] == 'geo:point' geo = r['location']['value'] assert geo == '51.235646, 4.420609'
def test_entity_add_point_negative_coord(air_quality_observed): air_quality_observed.pop('location') air_quality_observed['address']['value'] = { "streetAddress": "Acolman", "postOfficeBoxNumber": "22", "addressLocality": "Ciudad de México", "addressCountry": "MX", } r = geocoding.add_location(air_quality_observed) assert r is air_quality_observed assert 'location' in r assert r['location']['type'] == 'geo:point' lon, lat = r['location']['value'].split(',') assert float(lon) == pytest.approx(19.6389474, abs=1e-2) assert float(lat) == pytest.approx(-98.9109537, abs=1e-2)
def test_entity_add_point(air_quality_observed): air_quality_observed.pop('location') air_quality_observed['address']['value'] = { "streetAddress": "IJzerlaan", "postOfficeBoxNumber": "18", "addressLocality": "Antwerpen", "addressCountry": "BE", } r = geocoding.add_location(air_quality_observed) assert r is air_quality_observed assert 'location' in r assert r['location']['type'] == 'geo:point' lon, lat = r['location']['value'].split(',') assert float(lon) == pytest.approx(51.2358357, abs=1e-2) assert float(lat) == pytest.approx(4.4201911, abs=1e-2)